End To End NLP Project Implementation With Deployment Github Action- Text Summarization- Krish Naik
In this video I will explain you how to implement an end to end NLP project with deployment using github action
Text summarization is the process of condensing a longer piece of text, such as an article, document, or paragraph, into a shorter and more concise version while preserving its key information and meaning. The goal of text summarization is to extract the most important points and main ideas from the original text and present them in a condensed form.In this video we will discussing about the complete
road map to prepare for NLP so that you can crack or ace any
data science interviews
NLP Playlist:
• Natural Language Processing
Complete Deep Learning playlist :
• Complete Deep Learning
Bottom Top Approach Of Learning
1.Text Preprocessing Level 1- Tokenization,Lemmatization,StopWords,POS
2.Text Preprocessing Level 2- Bag Of Words, TFIDF, Unigrams,Bigrams,n-grams
3.Text Preprocessing- Gensim,Word2vec,AvgWord2vec
4.Solve Machine Learning Usecases
5.Get the Understanding Of Artificial Neural Network
6.Understanding Recurrent Neural Networks, LSTM,GRU
7.Text Preprocessing Level 3- Word Embeddings, Word2vec
8.Bidirectional LSTM RNN, Encoders And Decoders, Attention Models
9.Transformers
10.BERT
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#naturallanguageprocessing
#nlp
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